Instructions to use karths/binary_classification_train_process with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_process with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_process")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_process") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_process") - Notebooks
- Google Colab
- Kaggle
| {"0": {"precision": 0.9956140350877193, "recall": 0.9965506428347445, "f1-score": 0.9960821187901583, "support": 3189}, "1": {"precision": 0.9964561855670103, "recall": 0.9954940457032507, "f1-score": 0.9959748832716149, "support": 3107}, "accuracy": 0.9960292249047014, "macro avg": {"precision": 0.9960351103273648, "recall": 0.9960223442689976, "f1-score": 0.9960285010308866, "support": 6296}, "weighted avg": {"precision": 0.9960296261835193, "recall": 0.9960292249047014, "f1-score": 0.9960291993562137, "support": 6296}} |